Cheil - Head of Department - Technical & Data Business
3 weeks ago
Job Description :
The head of Department (HOD) in Tech & Data Business will play a pivotal role in shaping and executing our tech and data strategy. As a senior leader in the organization, you will be responsible for three business areas :
1. For the Tech business, you will primarily oversee the development and operation of the Samsung.com website, as well as various marketing-related software linked to Samsung.com.
2. For the Data business, you will manage all aspects supporting data-driven decision-making, including data analysis, data management, data engineering and dashboard development.
3. For the CRM business, you will be responsible for designing CRM programs, communicating with customers to ensure smooth campaign operations, and managing related processes.
Key Responsibilities :
1. Leadership & Stakeholder Management :
- Lead and mentor a cross-functional team of data professionals, including data engineers, data scientists, analysts, and data governance specialists.
- Collaborate with executive leadership, department heads, and IT teams to align data strategies with business strategies and technology initiatives.
- Act as a subject matter expert in data and analytics, providing guidance to senior management and the board.
2. Collaboration & Communication :
- Act as a liaison between technology teams and other departments to ensure alignment on business and technical requirements.
- Communicate complex technical concepts to non-technical stakeholders clearly and effectively.
3. Technology Leadership :
- Develop and implement the company's technology strategy in alignment with business goals.
- Lead and inspire the technology team to innovate and achieve organizational objectives.
- Stay up-to-date with technological advancements and evaluate their potential impact on the company.
4. Budget & Resource Management :
- Develop and manage the technology department's budget, ensuring cost-effective allocation of resources.
- Oversee technology procurement, vendor relationships, and partnerships.
5. Strategy & Planning :
- Collaborate with other executives to define the company's overall business strategy and identify technological solutions to support it.
- Lead the development and execution of product and technology roadmaps, ensuring timely and successful delivery of technology initiatives.
6. Team Management & Development :
- Build, lead, and mentor a high-performing technology team, fostering a culture of collaboration, innovation, and continuous learning.
- Recruit top-tier talent, ensuring the team is well-equipped to meet organizational demands.
7. Innovation & R&D :
- Promote and lead research and development (R&D) activities to bring new technologies, products, or services to market.
- Evaluate emerging technologies and trends to determine their potential for enhancing company offerings or creating new business opportunities.
8. Data Strategy Development & Execution :
- Lead the development and execution of the company's data strategy, ensuring alignment with business goals and objectives.
- Define and drive data governance policies, data quality standards, and data lifecycle management practices.
- Foster a data-driven culture across the organization, empowering all business functions to leverage data in decision-making.
9. Data Analytics & Business Intelligence :
- Drive advanced analytics initiatives, including predictive analytics, AI, machine learning, and data visualization to support key business decisions.
- Ensure that the organization is making the best use of data, promoting insights that can optimize performance and profitability.
- Oversee the design and implementation of dashboards, reports, and other data-driven solutions for executives and departments.
10. Technology & Infrastructure Oversight :
- Oversee the design and execution of the company's data architecture, including the integration of disparate data sources across various platforms (cloud, on-premises, etc.).
- Lead the evaluation, selection, and implementation of data management and analytics tools and technologies.
- Collaborate with IT and engineering teams to ensure scalability, security, and performance of data systems.
11. Innovation & Continuous Improvement :
- Promote continuous improvement and innovation in data analytics, data engineering, and AI/ML applications.
- Stay ahead of industry trends in data technologies, methodologies, and best practices, ensuring the company remains competitive.
Required Qualifications :
- Education : Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Business Administration, or a related field.
- Experience : 15+ years of experience in data management, data governance, data science, or a similar field, with at least 5+ years in a leadership role.
- Proven track record of developing and executing data strategies that drive business value.
- Expertise in data governance, data quality, and data privacy frameworks.
- Deep understanding of advanced analytics, machine learning, and artificial intelligence technologies.
- Familiarity with cloud data platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data visualization tools (Power BI, Tableau, etc.).
Skills & Competencies :
- Strong leadership and team management capabilities, with experience in building and leading cross-functional teams.
- Excellent communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
- Strategic mindset, with a demonstrated ability to align data initiatives with business goals and outcomes.
- Problem-solving and decision-making abilities, with a focus on innovation and continuous improvement.
- Proficiency in data programming languages (Python, R, SQL) and statistical modeling techniques.
Preferred Qualifications :
- Ph.D. or equivalent advanced degree in a related field (e.g., Computer Science, Data Science, Business Intelligence).
- Industry certifications (e.g., Certified Information Management Professional (CIMP), Certified Analytics Professional (CAP)).
- Experience in industries such as finance, healthcare, retail, or technology.
- Experience with AI/ML deployment in production environments.
Why Join Us :
- Opportunity to work at the forefront of data-driven innovation.
- Be part of an executive leadership team influencing key business decisions.
- Competitive compensation package with performance-based incentives.
- Collaborative and dynamic work culture focused on continuous learning and development.
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